# Workload Manager MCP Server

> Use this tool when you need to manage workloads on Google Cloud using natural language commands, solving problems of manual workload configuration and optimization. It enables users to interact with the Workload Manager API, accepting natural language inputs and producing configured workloads as output. Ideal for streamlining cloud resource management and automation workflows.

Canonical page: https://skillsregistry.net/skills/ag2-mcp-servers-workload-manager-api  
JSON: https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-workload-manager-api

## Description

An MCP server that enables interaction with Google Cloud's Workload Manager API, allowing users to manage workloads through natural language commands.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/joaupd0bhy)
- **Repository:** <https://github.com/ag2-mcp-servers/workload-manager-api>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ag2-mcp-servers-workload-manager-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-workload-manager-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-workload-manager-api/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt